R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others.
This book starts with the basics of R and the principles of creating graphics, focusing on scatterplots and line graphs for research and data analysis.
After that you will learn how to include mathematical expressions on your graphs and create bar charts, histograms, boxplots, and so on using advanced functions. The book then dives deeper into shading and coloring your graphs and labeling points on graphs using the qplot function. After that you will learn how to use the ggplot package to control symbol color, size, shape, and many other attributes.
By the end of this book, you will have expert skills to create attractive and informative graphics and design professional-level graphs.
R Graph Essentials by David Alexander Lillis, 2014 Packt Publishing, ISBN 978-1-78355-455-3, 190 pages, http://bit.ly/ZvZQDS is well written book and as I use it regularly I recommend it to busy researchers who are starting out on R. It really describes R's powerful graphing capabilities to design and create professional-level graphics in a relaxed manner that and even a rank beginner can start using R within 15 minutes. D.A. Lillis is an experienced researcher and statistician, in research evaluation, agricultural and forestry statistics, and education research and it clearly shows in this book. R Graph Essentials can be divided into 4 parts. In Base Graphics in R methods and syntax for drawing scatterplots and line plots, using special axes/text legends /titles adding axis labels/ lines / interpolation lines/ regression lines, and curves, graphing several variables, plotting multiple plots / multiple axes, including mathematical expressions in graphs and saving graphs as PDF, PostScript, and JPG files are well covered. In using Advanced Functions in Base Graphics, creating complex multiple axes, including grid lines and point labels, shading and colouring graphs, creating bar charts, histograms, boxplots, pie charts, and dot charts, adding LOWESS smoothers, creating scatterplot matrices and adding error bars have been described in detail. In part 3 Mastering the qplot function, to create scatterplots and line graphs, map the symbol size, type, and colour to categorical data, include regressions and confidence intervals in graphs, create bar charts, histograms, boxplots, pie charts, and dotcharts, and creating time series graphs with dates have been well covered. In part 4 Getting started with ggplot, concise coverage on using the ggplot has been written. I whole heartedly recommend this book. I enjoyed reading this book. The R commands are also available as a zip file from the Packt website. I received a free reviewers copy from Packt Publishing.
Bottom Line Yes, I would recommend this to a friend